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[Agriculture] Food self-sufficiency ratio (calorie-based)
[Agriculture] Food self-sufficiency ratio (production value-based)
[Agriculture] Agriculture, forestry and fishing, value added per worker (constant 2015 US$)
[Agriculture] Agriculture, forestry, and fishing, value added (million US$)
[Agriculture] Agriculture, forestry, and fishing, value added (% of GDP)
[Agriculture] Employment in agriculture (% of total employment)
[Agriculture] Producer support estimates, as % of gross farm receipts
[Cereal, Starchy Roots, Sugar & Sweeteners] Cereals - Excluding Beer, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Wheat and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Rice and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Barley and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Maize and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Oat, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Millet and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Starchy Roots, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Potatoes and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sweet Potatoes, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sugar & Sweeteners, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sugar (Raw Equivalent), food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Honey, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Pulses, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Beans, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Peas, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Soyabeans, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Nuts and products, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Groundnuts, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Coconuts - Incl Copra, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Sesame seed, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Olives (including preserved), food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Vegetable Oils, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Soyabean Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Groundnut Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Sunflowerseed Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Rape and Mustard Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Palm Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Coconut Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Olive Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Maize Germ Oil, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Vegetables, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Tomatoes and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Onions, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Fruits - Excluding Wine, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Oranges, Mandarines, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Lemons, Limes and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Grapefruit and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Bananas, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Apples and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pineapples and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Dates, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Grapes and products (excl wine), food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Spices, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pepper, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pimento, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Stimulants, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Coffee and products, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Tea (including mate), food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Alcoholic Beverages, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol)
[Stimulants, Alcoholic Beverages] % of those who often drink 4 or more alcoholic drinks on the same day
[Stimulants, Alcoholic Beverages] Wine, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Beer, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Fermented beverages, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Bovine Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Mutton & Goat Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Average days of eating beef, lamb, or their products in a week
[Meat, Diary, Fish] % of those who do not eat beef, lamb, or their products
[Meat, Diary, Fish] % of those who eat beef, lamb, or their products every day
[Meat, Diary, Fish] Pigmeat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Poultry Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Offals, Edible, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Butter, Ghee, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Animal Fats, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Eggs, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Milk (Excluding Butter), food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Fish, Seafood, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Freshwater Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Demersal Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Pelagic Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Crustaceans, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Cephalopods, food supply quantity (kg/capita/year)
[Eating behaviors] % of those who eat fresh fruit or vegetables every day
[Eating behaviors] % of those who refuse to eat meat for moral or environmental reasons at least sometimes
[Eating behaviors] % of those who often try to buy fruits and vegetables grown without pesticides or chemicals
[Eating behaviors] % of people who take special food on their business trip
Period:
2020
Area:
World
\n
Major advanced countries
\n
Nordic and major advanced countries
\n
OECD members
\n
EU27
\n
EU+Japan
\n
Europe
\n
ASIA
\n
TPP
\n
Latin America
\n
Africa
\n
184 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
Afghanistan
Albania
Algeria
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia
Bosnia and Herzegovina
Botswana
Brazil
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Democratic Republic of Congo
Republic of Congo
Costa Rica
Cote dIvoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Estonia
Eswatini
Ethiopia
Fiji
Finland
France
French Polynesia
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
North Korea
Republic of Korea
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Lithuania
Luxembourg
Macao, China
North Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia, Federated States of
Moldova
Mongolia
Montenegro
Morocco
Mozambique
Myanmar (Burma)
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Romania
Russian Federation
Rwanda
St. Kitts and Nevis
St. Vincent and the Grenadines
Samoa
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Slovakia
Slovenia
Solomon Islands
South Africa
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Sweden
Switzerland
Syrian Arab Republic
Taiwan
Tajikistan
Tanzania
Thailand
Timor-Leste
Togo
Trinidad and Tobago
Tunisia
Turkiye
Turkmenistan
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Yemen
Zambia
Zimbabwe
1
Taiwan
17.34
2
Algeria
16.90
3
United States
13.59
4
Brazil
12.93
5
Republic of Korea
11.51
6
Dominican Republic
11.23
7
Cuba
11.15
8
Mauritius
10.84
9
Sao Tome and Principe
9.90
10
Paraguay
8.82
11
Trinidad and Tobago
8.42
12
Macao, China
8.03
12
Venezuela
8.03
14
Costa Rica
8.00
15
Suriname
7.64
16
Morocco
7.07
17
Italy
6.49
18
Lebanon
6.47
19
Mauritania
6.45
20
Bhutan
6.39
21
Fiji
6.36
22
Malta
6.20
23
Uruguay
6.17
24
Zimbabwe
6.13
25
Panama
5.99
26
St. Kitts and Nevis
5.88
27
Israel
5.86
28
Iran
5.84
29
St. Vincent and the Grenadines
5.81
30
Portugal
5.60
31
Ecuador
5.50
32
Germany
5.37
33
Colombia
5.26
34
Egypt
5.22
35
Netherlands
5.16
36
Guatemala
4.99
37
North Korea
4.96
38
Barbados
4.88
39
Nepal
4.75
40
South Africa
4.66
41
Mexico
4.63
41
Thailand
4.63
43
Hong Kong, China
4.57
44
Iceland
4.53
45
Belgium
4.51
46
Antigua and Barbuda
4.39
47
Zambia
4.29
48
Jamaica
4.25
49
Cape Verde
4.12
50
Tunisia
4.06
51
Solomon Islands
3.68
52
Jordan
3.55
53
Bulgaria
3.51
54
Japan
3.31
55
Angola
3.24
56
Malaysia
3.19
57
United Kingdom
3.15
58
Dominica
3.10
59
Peru
3.07
60
Eswatini
3.06
61
Ireland
3.00
62
Spain
2.95
63
Lithuania
2.94
64
Belarus
2.89
65
China
2.81
66
Viet Nam
2.72
67
Austria
2.62
68
Haiti
2.53
69
Bangladesh
2.49
69
Belize
2.49
69
France
2.49
72
Bolivia
2.48
73
Cyprus
2.43
74
Senegal
2.38
75
Chile
2.36
76
Nicaragua
2.25
77
Slovenia
2.15
78
India
2.11
79
Kuwait
2.02
80
New Zealand
1.93
81
Libya
1.89
82
Argentina
1.83
83
Indonesia
1.78
84
Czech Republic
1.77
85
Madagascar
1.74
86
Bahamas
1.70
87
El Salvador
1.67
88
Syrian Arab Republic
1.66
89
United Arab Emirates
1.65
90
Grenada
1.58
91
Romania
1.56
92
Hungary
1.33
93
Mozambique
1.31
94
Benin
1.29
95
Iraq
1.28
96
Mongolia
1.27
97
Cambodia
1.24
98
Russian Federation
1.20
99
Bosnia and Herzegovina
1.18
100
Switzerland
1.10
101
Croatia
1.03
102
Greece
1.01
103
Bahrain
0.99
104
Saudi Arabia
0.90
105
Maldives
0.89
106
Poland
0.85
107
Slovakia
0.79
108
Guyana
0.78
109
Guinea-Bissau
0.75
110
Canada
0.74
111
Moldova
0.61
112
Tajikistan
0.60
113
Papua New Guinea
0.59
114
Oman
0.57
115
Qatar
0.52
116
Malawi
0.51
117
Honduras
0.50
118
Estonia
0.47
119
Albania
0.43
119
Gabon
0.43
121
Luxembourg
0.42
121
Nauru
0.42
123
Djibouti
0.40
123
Nigeria
0.40
125
Myanmar (Burma)
0.38
125
Uzbekistan
0.38
127
Botswana
0.37
127
Philippines
0.37
129
Australia
0.36
130
Pakistan
0.33
131
Kazakhstan
0.31
132
Namibia
0.29
133
Turkmenistan
0.27
134
Armenia
0.23
134
Latvia
0.23
136
Ghana
0.22
136
Laos
0.22
138
Republic of Congo
0.21
138
Ukraine
0.21
140
New Caledonia
0.20
141
North Macedonia
0.17
142
Afghanistan
0.15
143
Lesotho
0.13
144
Guinea
0.12
144
Uganda
0.12
146
Georgia
0.11
147
Rwanda
0.10
147
Timor-Leste
0.10
149
French Polynesia
0.09
149
Kenya
0.09
151
Azerbaijan
0.07
151
Sri Lanka
0.07
151
Tanzania
0.07
154
Ethiopia
0.06
155
Cote dIvoire
0.04
155
Micronesia, Federated States of
0.04
157
Sweden
0.03
158
Comoros
0.02
158
Democratic Republic of Congo
0.02
158
Norway
0.02
158
Togo
0.02
158
Yemen
0.02
163
Central African Republic
0.01
163
Liberia
0.01
165
Burkina Faso
0.00
165
Burundi
0.00
165
Cameroon
0.00
165
Chad
0.00
165
Denmark
0.00
165
Finland
0.00
165
Gambia
0.00
165
Kiribati
0.00
165
Kyrgyzstan
0.00
165
Mali
0.00
165
Montenegro
0.00
165
Niger
0.00
165
Samoa
0.00
165
Serbia
0.00
165
Seychelles
0.00
165
Sierra Leone
0.00
165
South Sudan
0.00
165
Sudan
0.00
165
Turkiye
0.00
165
Vanuatu
0.00
No data for 54 countries.
American Samoa/ Andorra/ Anguilla/ Aruba/ Bermuda/ British Virgin Islands/ Brunei Darussalam/ Cayman Islands/ Channel Islands/ Cook Islands/ Curacao/ Equatorial Guinea/ Eritrea/ Faeroe Islands/ Falkland Islands (Malvinas)/ French Guiana/ Gibraltar/ Greenland/ Guadeloupe/ Guam/ Guernsey/ Holy See (Vatican City)/ Jersey/ Kosovo/ Liechtenstein/ Man, Isle of/ Marshall Islands/ Martinique/ Mayotte/ Monaco/ Montserrat/ Netherlands Antilles/ Niue/ Northern Mariana Islands/ Palau/ Palestinian Territory/ Pitcairn/ Puerto Rico/ Reunion/ St. Helena/ St. Lucia/ St. Martin (French part)/ St. Pierre et Miquelon/ San Marino/ Singapore/ Sint Maarten (Dutch part)/ Somalia/ Tokelau/ Tonga/ Turks and Caicos Islands/ Tuvalu/ Virgin Islands/ Wallis and Futuna Islands/ Western Sahara
Source
Food and Agriculture Organization of the United Nations, 2020, Food Balance Sheet
Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data
140
Regression equation
Y = 0.071153 X +
5.330
Correlation coefficient (r)
0.203
Coefficient of determination (R2)
0.041
GDP per capita (current US$)
No. of data
177
Regression equation
Y = 645.386258 X +
14502.317
Correlation coefficient (r)
0.094
Coefficient of determination (R2)
0.009
Life expectancy at birth - Both sexes (years)
No. of data
183
Regression equation
Y = 0.713767 X +
69.502
Correlation coefficient (r)
0.290
Coefficient of determination (R2)
0.084
Fertility rate, total (births per woman)
No. of data
183
Regression equation
Y = -0.130110 X +
2.890
Correlation coefficient (r)
-0.324
Coefficient of determination (R2)
0.105
Suicide, age-standardized (per 100 000 population)
No. of data
176
Regression equation
Y = -0.367627 X +
11.022
Correlation coefficient (r)
-0.130
Coefficient of determination (R2)
0.017